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Abstract #1097

Convolutional neural network-based image reconstruction and image classification: atomization or amalgamation?

Sarah Eskreis-Winkler1,2, Zhe Liu3, Jinwei Zhang3, Pascal Spincemaille1, Thanh Nguyen1, Ilhami Kovanlikaya1, and Yi Wang1

1Weill Cornell Medicine, New York, NY, United States, 2Memorial Sloan Kettering Cancer Center, New York, NY, United States, 3Cornell University, Ithaca, NY, United States

Convolutional neural networks have emerged as a powerful tool for image reconstruction and image analysis. In this abstract, we evaluate whether image reconstruction and image classification tasks are best performed separately, or whether a combined CNN, performing image reconstruction and clinical diagnosis steps in tandem, delivers synergistic effects.

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